Systems for detecting liveness in image data may perform a process including receiving, from one or more image capture devices, two-dimensional image data representing two images captured simultaneously and depicting the same human person, including data representing light captured in two spectral bands, such as visible light and infrared light. The received image data may be converted to grayscale or downsampled prior to further processing. The process may include creating a two-dimensional combined image representation of the received image data and analyzing the combined image representation to detect any implied three-dimensional features using a neural network or machine learning. The process may include classifying the received image data as likely to depict a live person or a two-dimensional spoof of a live person, dependent on the analysis, and outputting a classification result indicating a likelihood that the received image data depicts a live person.

The system for very early detection and suppression of fires is comprised of the network of low orbiting micro-satellites, local drones, processing and communication equipment and fire suppression capabilities with fire retardants and water delivered by drones, helicopters, planes and/or ground fire crews. Micro-satellites and drones are equipped with very sensitive, high resolution imaging spectrometers operating in multiple visible and infrared wavelengths. Processors are used to analyze spectroscopic micro-satellite images to detect fires and to verify validity of fire detection by analysis of spectroscopic drone images. The system can prevent large wild fires anywhere in the world rapidly with high detection sensitivity and reliability.

A pharmacy packaging system configured to dispense pharmaceuticals into a pharmaceutical pouch formed by a feed roll and including a verification system. The verification system includes a camera system configured to capture images in a visible spectrum and an infrared spectrum, a first light source configured to output an infrared spectrum light, a second light source configured to output a visible spectrum light, and a processor. The processor is operable to activate the first light source to illuminate the pharmaceutical pouch and capture a first image of the pharmaceutical pouch while illuminated by the first light source. The processor is also operable to activate the second light source to illuminate the pharmaceutical pouch and capture a second image of the pharmaceutical pouch while illuminated by the second light source. The processor is further operable to generate a third image based on the first image and the second image.

A pharmacy packaging system configured to dispense pharmaceuticals into a pharmaceutical pouch formed by a feed roll and including a verification system. The verification system includes a camera system configured to capture images in a visible spectrum and an infrared spectrum, a first light source configured to output an infrared spectrum light, a second light source configured to output a visible spectrum light, and a processor. The processor is operable to activate the first light source to illuminate the pharmaceutical pouch and capture a first image of the pharmaceutical pouch while illuminated by the first light source. The processor is also operable to activate the second light source to illuminate the pharmaceutical pouch and capture a second image of the pharmaceutical pouch while illuminated by the second light source. The processor is further operable to generate a third image based on the first image and the second image.

A method for processing an image, which is performed by an image processing apparatus, is provided. The method includes acquiring a first image including an object and a second image including an object identical to the object in the first image under the same condition, acquiring three-dimensional direction information of a specific part of the object in the first image, and providing a three-dimensionally processed image by three-dimensionally rotating the object in the second image by an angle that corresponds to the acquired three-dimensional direction information of the specific part of the object in the first image.

The invention is based, in part, on a system and method designed to be able to easily and automatically scale up to millions of cameras and users. To do this, this discourse teaches use of modern cloud computing technology, including automated service provisioning, automated virtual machine migration services, RESTful API, and various firewall traversing methods to facilitate the scaling process. Moreover, the system and method described herein teaches scalable cloud solutions providing for higher though-put camera provisioning and event recognition. The network may segregate the retrieval server from the storage server, and by doing so, minimizing the load on any one server and improving network efficiency and scalability.

A system for categorizing seeds of plants into hybrid and non-hybrid categories. Seeds sorted according to the disclosed system are also disclosed.

This invention shows a system and method for phenotype characterization of agricultural crops, comprising at least one support device which can be reconfigured in an autonomous or controlled remote manner. It includes a central embedded microcontroller connected to atmospheric sensors located in the upper body, a microcontroller connected to a multi-spectral camera located at the distal end of the arm. The central microcontroller is connected to a base microcontroller that receives signals from soil sensors. A solar panel provides the energy source to a regulating unit that powers the microcontrollers. The system contains a communication unit that includes a router wirelessly connected to Internet.

This invention shows a system and method for phenotype characterization of agricultural crops, comprising at least one support device which can be reconfigured in an autonomous or controlled remote manner. It includes a central embedded microcontroller connected to atmospheric sensors located in the upper body, a microcontroller connected to a multi-spectral camera located at the distal end of the arm. The central microcontroller is connected to a base microcontroller that receives signals from soil sensors. A solar panel provides the energy source to a regulating unit that powers the microcontrollers. The system contains a communication unit that includes a router wirelessly connected to Internet.

An imaging device including a first filter that passes a first light and a second light; a second filter that blocks the second light; photoelectric converters that have sensitivity to the first light and the second light; and a processor, in which one of the photoelectric converters detects a light passing through the first filter to generate a first signal, one of the photoelectric converters detects a light passing through the first filter and the second filter to generate a second signal, and the processor performs the second light sensing based on the first signal and the second signal.